Loading...
Loading...
DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
22,989 datasets
Zhiqi Huang published ablation experiment results for the MDA-TSK-FS model on May 11, 2026. The data compares the performance of a novel multi-view TSK fuzzy system with deformable Gaussian membership functions and a rule-level attention mechanism against baselines. Results include classification accuracies on five public multi-view datasets: Caltech7 (94.38%), Handwritten (98.62%), Dermatology (98.58%), Forest (88.57%), and EEG (69.75%).
A 2026 study by Zhiqi Huang presents classification accuracy results for a novel multi-view TSK fuzzy system (MDA-TSK-FS) and baselines. The dataset likely contains performance metrics from experiments on five public multi-view datasets: Caltech7, Handwritten, Dermatology, Forest, and EEG. The proposed model achieved accuracies of 94.38%, 98.62%, 98.58%, 88.57%, and 69.75% on these datasets, respectively.
Geoscience Australia compiled a history of geological investigations and a bibliography for the Great Barrier Reef and adjacent regions. The record addresses public interest in the area's geology, particularly regarding petroleum exploration. It was published by the Australian Ocean Data Network.
Transparency International's Corruption Perceptions Index (CPI) provides scores and rankings for countries and territories. Scores range from 0 (highly corrupt) to 100 (very clean), reflecting perceived levels of public sector corruption. The dataset was last updated on 2026-05-21.
Corruption Perceptions Index scores and rankings published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on expert and business executive assessments. The dataset was last updated on 2026-05-21.
Transparency International's Corruption Perceptions Index scores countries from 0 (highly corrupt) to 100 (very clean). The dataset contains CPI scores and rankings based on assessments by experts and business executives. It was last updated on 2026-05-21.
Transparency International's Corruption Perceptions Index (CPI) provides scores and rankings for countries and territories. Scores range from 0 (highly corrupt) to 100 (very clean), reflecting perceived levels of public sector corruption. The dataset was last updated on 2026-05-21.
Corruption Perceptions Index scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on expert and business assessments. The dataset was last updated on 2026-05-21.
Transparency International's Corruption Perceptions Index (CPI) scores and ranks countries and territories based on perceived public sector corruption. Scores range from 0 (highly corrupt) to 100 (very clean), derived from assessments by experts and business executives. The dataset was last updated on 2026-05-21.
Transparency International's Corruption Perceptions Index (CPI) provides scores and rankings for countries and territories based on perceived public sector corruption. CPI scores range from 0 (highly corrupt) to 100 (very clean), derived from assessments by experts and business executives. The dataset was last updated on 2026-05-21.
China's Corruption Perceptions Index (CPI) scores and rankings, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean), reflecting perceived levels of public sector corruption based on expert and business assessments. The dataset was last updated on 2026-05-21.
Transparency International publishes the Corruption Perceptions Index (CPI), which scores and ranks countries and territories based on perceived public sector corruption. Scores range from 0 (highly corrupt) to 100 (very clean), derived from assessments by experts and business executives. The dataset was last updated on 2026-05-21.
Corruption Perceptions Index scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption based on assessments by experts and business executives. The dataset was last updated on 2026-05-21.
Australia's Corruption Perceptions Index dataset contains scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption. The data is based on assessments by experts and business executives.
Corruption Perceptions Index scores and rankings for countries and territories, published by Transparency International. Scores range from 0 (highly corrupt) to 100 (very clean) and reflect perceived levels of public sector corruption. The dataset was last updated on 2026-05-21.
Australian Ocean Data Network coordinates sustained observations of open ocean properties important to climate and carbon cycle studies. This collection contains time-series observations of temperature and salinity from moorings deployed by the Deep Water Moorings' Air-Sea Flux Stations and Deepwater Arrays sub-facilities. Observations were made using temperature loggers, conductivity-temperature-depth instruments, and temperature sensors on acoustic Doppler current profilers.
Arpita Biswas reports a draft genome sequence of Pseudomonas aeruginosa isolated from cattle milk in Dhaka, Bangladesh. The 7.24 Mb genome, sequenced using Illumina NextSeq, contains 6,958 coding sequences, including putative antibiotic resistance genes. The dataset is available under a CC-BY-4.0 license and was last updated on June 4, 2026.
Statistics Canada provides quarterly data on total spending by Canadian residents on domestic and outbound travel. The dataset includes expenditures by region, country, or province of visit, province of trip origin, main trip purpose, and expenditure category. Statistics for the territories are combined.
Statistics Canada provides quarterly data on total spending by Canadian resident travellers on domestic and outbound visits. The dataset includes expenditures by region, country, or province visited, province of trip origin, visit duration, and spending category. Statistics for the territories are combined.
Quarterly data on total spending by Canadian residents during domestic and outbound trips. The dataset includes expenditures by region, country, province, main trip purpose, visit duration, and spending category, compiled by Statistics Canada. Statistics for the territories are combined.